The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine
ABSTRACTDue to the coarse scale of soil moisture products retrieved from passive microwave observations (SMPMW), several downscaling methods have been developed to enable regional scale applications. However, it can be challenging for users to access final data products and algorithms, as well as ma...
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Taylor & Francis Group
2024-01-01
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| Sarja: | Big Earth Data |
| Aiheet: | |
| Linkit: | https://www.tandfonline.com/doi/10.1080/20964471.2023.2257905 |